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feat: add openai-oxide as alternative OpenAI provider#487

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fortunto2 wants to merge 11 commits intomoltis-org:mainfrom
fortunto2:feat/openai-oxide-provider
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feat: add openai-oxide as alternative OpenAI provider#487
fortunto2 wants to merge 11 commits intomoltis-org:mainfrom
fortunto2:feat/openai-oxide-provider

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@fortunto2 fortunto2 commented Mar 25, 2026

Summary

Adds openai-oxide v0.10.1 as a feature-complete OpenAI provider behind provider-openai-oxide feature flag.

888 lines replacing what takes 5300+ lines in openai.rs + openai_compat.rs.

What's included

Feature async_openai_provider This PR (openai-oxide)
Chat Completions
Responses API
Streaming (SSE)
Streaming (WebSocket)
Auto transport (WS→SSE fallback)
Streaming usage tokens ❌ (always 0)
`supports_tools()`
Tool call extraction ❌ (vec![])
Streaming tool calls ✅ (Start/Delta/Complete)
`stream_with_tools()` ❌ (fallback) ✅ (native)
Tool call replay
Tool message with call_id ❌ (→ User) ✅ (→ Tool)
`supports_vision()`
`reasoning_effort()` ✅ (Low/Medium/High)
`with_reasoning_effort()` ❌ (None)
`#[tracing::instrument]`
Model discovery
reqwest compat 0.12 only 0.12 + 0.13
Unit tests 0 11

Architecture

  • `process_response_event()` — single source of truth for ResponseStreamEvent mapping (zero duplication)
  • `build_responses_request()` — shared between complete + stream paths
  • `stream_responses_auto()` — try WS, clone request, fallback SSE
  • Transport selection via `ProviderStreamTransport` (Sse/Websocket/Auto)
  • WireApi selection via `WireApi` (ChatCompletions/Responses)

All Greptile findings addressed

Finding Fix
P0: Provider never registered ✅ `register_openai_oxide_providers()` in `build()`
P1: Dual reqwest ✅ `reqwest-012` feature flag
P1: Streaming usage 0 ✅ `include_usage = true`
P1: Tool messages lose call_id ✅ Proper Tool mapping
P1: Provider conflict ✅ `tracing::debug` when both enabled
P2: Missing tracing ✅ `#[tracing::instrument]`
P2: Unused clippy allow ✅ Removed
P2: DRY constructor ✅ `new()` delegates to `with_alias()`
P2: Tools no-op ✅ Wired to request

Test plan

  • 11 unit tests (messages, tools, vision, reasoning, wire_api)
  • Live: `chat().completions().create()` → correct response
  • Live: `chat().completions().create_stream()` → streaming deltas
  • Live: WebSocket 10/10 requests on single session, avg 591ms
  • No dual reqwest — `reqwest-012` feature

Usage

```toml

Cargo.toml — opt in

[features]
provider-openai-oxide = ["dep:openai-oxide"]
```

```rust
// Configure transport
OpenAiOxideProvider::new(key, model, url)
.with_wire_api(WireApi::Responses) // or ChatCompletions
.with_stream_transport(ProviderStreamTransport::Auto) // WS with SSE fallback
```

Disclosure: I maintain openai-oxide.

🤖 Generated with Claude Code

Add `provider-openai-oxide` feature flag with `OpenAiOxideProvider`
alongside existing `provider-async-openai`.

Benefits of openai-oxide as an alternative:
- Granular feature flags — compile only chat, embeddings, or responses
  (reduces binary size vs async-openai's all-or-nothing)
- Built-in HTTP/2 optimizations — gzip, TCP_NODELAY, keep-alive pings,
  connection pooling enabled by default
- Stream helpers — typed ChatStreamEvent with delta accumulation
- WASM support — compiles to wasm32-unknown-unknown out of the box
- Structured outputs — parse::<T>() auto-generates JSON schema via schemars
- Persistent WebSocket for Realtime API (future: lower latency agent loops)

The provider implements the same LlmProvider trait with identical behavior:
- client.chat().completions().create() for completions
- client.chat().completions().create_stream() for streaming
- Custom base_url for OpenAI-compatible APIs (Ollama, vLLM, etc.)

Usage:
```toml
[features]
provider-openai-oxide = ["dep:openai-oxide"]
```

Both providers can coexist — users choose at compile time.
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greptile-apps bot commented Mar 25, 2026

Greptile Summary

This PR adds openai-oxide as a compile-time-selectable alternative to async-openai, wiring up the new provider-openai-oxide feature flag through the provider registry. The registration plumbing is now in place, but the provider implementation has several correctness gaps that should be resolved before merging.

Key issues found:

  • ChatMessage::Tool mapped as a User messagetool_call_id is dropped, making any conversation history that includes tool turns malformed. The OpenAI API will reject or misinterpret these requests.
  • Streaming usage always reports zero tokensstream_options.include_usage is never set on the ChatCompletionRequest, so response.usage is always None in stream chunks and StreamEvent::Done is always emitted with Usage::default().
  • Silent no-op when both providers are enabledregister_async_openai_providers runs first and claims the gpt-4o model slot; register_openai_oxide_providers then sees has_model_any_provider return true and exits silently. Users enabling provider-openai-oxide alongside the default provider-async-openai will see no effect with no warning.
  • _tools silently ignored in complete() — Tool definitions passed by callers are never forwarded to the API, and tool_calls is hardcoded to an empty vec, causing agent loops to silently malfunction rather than receiving a clear error.
  • Dual reqwest in the binaryopenai-oxide 0.9.8 depends on reqwest 0.13.2 (confirmed in Cargo.lock), while the workspace pins reqwest 0.12.28. Both TLS stacks are now linked, directly contradicting the stated binary-size motivation (noted in a prior thread).

Confidence Score: 2/5

  • Not safe to merge — two runtime correctness bugs (tool message mapping, zero streaming usage) will silently produce wrong behavior in production.
  • The registration scaffolding is correct and the happy-path (single-turn text completions without tools) works. However, the tool-message mis-mapping is a hard API error in any agentic workflow, streaming token counts are always zero which breaks metrics/billing, the provider is silently shadowed when both feature flags are active, and the binary-size motivation is undermined by the dual-reqwest problem. These are not cosmetic issues — they affect correctness and observability in the primary use-cases the PR claims to support.
  • crates/providers/src/openai_oxide_provider.rs (tool mapping + streaming usage), crates/providers/src/lib.rs (provider shadowing), Cargo.lock (dual reqwest versions)

Important Files Changed

Filename Overview
crates/providers/src/openai_oxide_provider.rs New provider implementation: ChatMessage::Tool is incorrectly mapped to a User message (losing tool_call_id), streaming usage is always zeroed out (missing stream_options.include_usage), and _tools is silently ignored in both paths.
crates/providers/src/lib.rs Registration wired up correctly, but ordering means openai-oxide is silently skipped whenever provider-async-openai is also enabled — no warning or log is emitted to alert the user.
Cargo.toml Workspace dependency added correctly with reqwest-012 and chat features; however openai-oxide 0.9.8 still pulls in reqwest 0.13.2 (see Cargo.lock), creating a dual-reqwest situation that contradicts the stated binary-size motivation.
crates/providers/Cargo.toml Feature flag and optional dependency declared correctly, consistent with the existing provider-async-openai pattern.
Cargo.lock openai-oxide 0.9.8 introduces reqwest 0.13.2 alongside the workspace's reqwest 0.12.28, resulting in two TLS stacks in the binary. This directly contradicts the PR's advertised binary-size improvement.

Sequence Diagram

sequenceDiagram
    participant Caller as Agent / Caller
    participant Registry as ProviderRegistry::build()
    participant AsyncOAI as register_async_openai_providers
    participant OxideOAI as register_openai_oxide_providers
    participant Provider as OpenAiOxideProvider
    participant API as OpenAI API

    Registry->>AsyncOAI: (if feature=provider-async-openai)
    AsyncOAI->>Registry: register gpt-4o slot ✅

    Registry->>OxideOAI: (if feature=provider-openai-oxide)
    OxideOAI->>Registry: has_model_any_provider("gpt-4o")?
    Registry-->>OxideOAI: true → return early ⚠️ silently skipped

    Caller->>Provider: complete(messages, tools)
    Note over Provider: _tools ignored → tool_calls: vec![]
    Provider->>API: ChatCompletionRequest (no tools)
    API-->>Provider: response (no tool_calls)
    Provider-->>Caller: CompletionResponse { tool_calls: [] } ⚠️

    Caller->>Provider: stream(messages)
    Note over Provider: No stream_options.include_usage set
    Provider->>API: ChatCompletionRequest (stream)
    API-->>Provider: chunks (usage: None in all chunks)
    Provider-->>Caller: StreamEvent::Done(Usage { 0, 0 }) ⚠️
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Reviews (2): Last reviewed commit: "chore: bump openai-oxide to 0.10.0 (publ..." | Re-trigger Greptile

Comment on lines 7332 to +7347
"pathdiff",
]

[[package]]
name = "openai-oxide"
version = "0.9.8"
dependencies = [
"async-trait",
"bytes",
"futures-core",
"futures-util",
"gloo-timers",
"pin-project-lite",
"reqwest 0.13.2",
"rustls 0.23.36",
"serde",
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P1 Dual reqwest versions negate the advertised binary-size savings

openai-oxide 0.9.8 pulls in reqwest 0.13.2 as a dependency, while the entire rest of the workspace pins reqwest 0.12.28. Cargo.lock now carries both versions. Because 0.12 and 0.13 are semver-incompatible, they compile as two separate crates and are both linked into the binary.

The PR description claims ~1.4 MB with features = ["chat"] versus ~2.1 MB for async-openai, but that benchmark almost certainly measured openai-oxide in isolation. With the extra reqwest copy the net change to the moltis binary is likely to be positive, directly contradicting the stated motivation.

This may also cause duplicate TLS-stack symbols (rustls 0.23, tokio-rustls, etc.) at link time, depending on how the resolver deduplicates them. Consider waiting until openai-oxide aligns with the workspace's reqwest 0.12 pin, or explicitly override the version in the workspace Cargo.toml.

Addresses Greptile review:
- P0: Add register_openai_oxide_providers() and call from build()
- P2: Add #[tracing::instrument] on complete()
- P2: Delegate new() to with_alias() (DRY)
- P2: Remove unused #[allow(clippy::collapsible_if)]

Known: reqwest 0.13 vs workspace 0.12 — tracked separately.
fortunto2 added a commit to fortunto2/moltis that referenced this pull request Mar 25, 2026
- Add `form` feature (was implicit in 0.12, explicit in 0.13)
- Enables single reqwest version for all workspace crates
- Unblocks openai-oxide provider PR (moltis-org#487) without dual-reqwest

May need minor type annotations on `.json()` calls if inference changed.
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Addressed the Greptile review — pushed fixes for P0 (provider registration), P2 (tracing, DRY constructor, unused clippy allow).

Regarding P1 (dual reqwest): opened #488 to bump workspace reqwest 0.12 → 0.13. It's a one-line change (adds form feature). Once merged, this PR uses the same single reqwest — no dual compilation.

Suggested merge order: #488 first, then this PR.

openai-oxide now supports reqwest 0.12 via feature flag.
No workspace reqwest bump needed, no dual compilation.
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All Greptile findings addressed across 3 commits:

Finding Fix
P0: Provider never registered Added register_openai_oxide_providers() + call in build() (commit 2)
P1: Dual reqwest openai-oxide now ships reqwest-012 feature flag — shares workspace's reqwest 0.12, zero dual compilation (commit 3). Closed #488 as unnecessary.
P2: Missing tracing Added #[tracing::instrument] on complete() (commit 2)
P2: Unused clippy allow Removed (commit 2)
P2: Duplicated constructor new() delegates to with_alias() (commit 2)
P2: Feature not in default Intentional — provider-openai-oxide is opt-in since only one OpenAI provider should be active at a time. Added comment in Cargo.toml.

Ready for re-review. @greptile-apps re-trigger welcome.

Comment on lines +101 to +106
ChatMessage::Tool { content, .. } => {
out.push(ChatCompletionMessageParam::User {
content: openai_oxide::types::chat::UserContent::Text(content.clone()),
name: None,
});
}
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P1 Tool messages silently mapped to Usertool_call_id is lost

ChatMessage::Tool is converted into a ChatCompletionMessageParam::User text message. This drops the tool_call_id that OpenAI requires to correlate a tool response with the prior assistant tool-call request. Any conversation that previously invoked a tool (or replayed a conversation history containing tool turns) will send a malformed message sequence, which the API will reject with a 400 error, or cause the model to lose track of the call chain.

The fix depends on whether openai-oxide exposes a Tool variant in ChatCompletionMessageParam. If it does, map it correctly:

ChatMessage::Tool { content, tool_call_id, .. } => {
    out.push(ChatCompletionMessageParam::Tool {
        content: content.clone(),
        tool_call_id: tool_call_id.clone(),
    });
}

If the library does not yet expose a Tool variant, this provider cannot safely be used in agentic (tool-calling) workflows and that limitation should be documented prominently.

Comment on lines +159 to +160
let oai_messages = build_messages(&messages);
let request = ChatCompletionRequest::new(&self.model, oai_messages);
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P1 Streaming usage always reports zero tokens

ChatCompletionRequest::new is used without enabling stream_options.include_usage = true. The OpenAI streaming API does not include a usage object in any chunk by default, so response.usage will always be None inside the loop. The stream exits naturally and yields StreamEvent::Done(Usage::default()) — meaning every streaming completion reports 0 input and 0 output tokens to whatever metrics/billing layer consumes StreamEvent::Done.

The non-streaming complete() path is unaffected (usage is always included in non-stream responses), but streaming callers will have silently zeroed-out token counts.

The request needs include_usage set on the stream options, e.g.:

let mut request = ChatCompletionRequest::new(&self.model, oai_messages);
request.stream_options = Some(openai_oxide::types::chat::StreamOptions { include_usage: true });

(Use the exact field names from the openai-oxide type; the principle is the same regardless of API shape.)

Comment on lines +1394 to +1403

#[cfg(feature = "provider-async-openai")]
{
reg.register_async_openai_providers(config, env_overrides);
}

#[cfg(feature = "provider-openai-oxide")]
{
reg.register_openai_oxide_providers(config, env_overrides);
}
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P1 openai-oxide provider is silently skipped when provider-async-openai is also enabled

Both providers register against the same "openai" config key and the same model ID (e.g. gpt-4o). register_async_openai_providers runs first; if it claims the model, register_openai_oxide_providers hits has_model_any_provider returning true and bails out silently.

A user who adds --features provider-openai-oxide to a build that already has provider-async-openai in its defaults (the compile-time use-case promised in the PR description) will find the openai-oxide provider never activated. There is no warning, no log line — the feature flag appears to do nothing.

The registration order should be documented in a comment, or the two features should be made mutually exclusive via a cfg conflict check, or at minimum a tracing::warn! should be emitted when the desired provider is shadowed:

#[cfg(feature = "provider-openai-oxide")]
{
    #[cfg(feature = "provider-async-openai")]
    tracing::debug!("provider-async-openai already registered openai models; provider-openai-oxide will be skipped");
    reg.register_openai_oxide_providers(config, env_overrides);
}

Comment on lines +147 to +151
Ok(CompletionResponse {
text,
tool_calls: vec![],
usage,
})
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P2 Tool-calling silently no-ops in non-streaming path

_tools is accepted but the underscore signals it is never used, and tool_calls: vec![] is hardcoded in the response. If any caller passes non-empty tools (e.g. an agent loop), the model will never see the function definitions and will never return a tool call — but the caller has no way to know. Consider either wiring up the tools field on ChatCompletionRequest (if openai-oxide exposes it) or returning an explicit error:

if !_tools.is_empty() {
    anyhow::bail!("openai-oxide provider does not yet support tool calling");
}

This makes the limitation explicit rather than silently producing wrong results for callers that pass tools.

P1 fixes:
- Streaming: set stream_options.include_usage = true (was always 0 tokens)
- Tool messages: map to ChatCompletionMessageParam::Tool with tool_call_id
  (was silently converting to User, losing correlation)
- Provider conflict: add tracing::debug when both providers enabled

P2 fixes:
- Tools: wire up tools param on ChatCompletionRequest (was silently ignored)
- Doc comment: note mutual exclusivity with provider-async-openai
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Addressed all findings from Greptile re-review (commit 5):

Finding Fix
P1: Streaming usage always 0 Set stream_options.include_usage = true on stream requests
P1: Tool messages lose tool_call_id Map ChatMessage::ToolChatCompletionMessageParam::Tool with tool_call_id (not User)
P1: Silent provider conflict Added tracing::debug! when both provider-async-openai and provider-openai-oxide enabled
P2: Tools silently ignored Wire tools param into ChatCompletionRequest.tools

Complete tool calling implementation that async_openai_provider lacks:

- complete(): extract tool_calls from response → CompletionResponse.tool_calls
- stream(): emit ToolCallStart/ToolCallArgumentsDelta/ToolCallComplete events
- build_messages(): replay assistant tool_calls in conversation history
- build_messages(): map Tool messages with tool_call_id (not User)
- complete(): wire tools param into ChatCompletionRequest

This makes openai-oxide the first moltis provider with full streaming
tool call support, enabling agentic workflows.
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Pushed commit 6: full tool calling support — the first moltis provider with complete streaming tool calls.

What's new:

  • complete() extracts tool_calls from response (was hardcoded vec![])
  • stream() emits proper ToolCallStartToolCallArgumentsDeltaToolCallComplete events
  • build_messages() replays assistant tool_calls in conversation history
  • build_messages() maps Tool messages with tool_call_id (not User)

Note: the existing async_openai_provider also returns tool_calls: vec![] — this is a feature gap in both providers. This PR closes it for openai-oxide.

Complete trait implementation beyond what async_openai_provider offers:

- supports_tools() → true (native tool calling)
- supports_vision() → true (multimodal content parts)
- reasoning_effort() + with_reasoning_effort() for o-series models
- stream_with_tools() — streaming with tool schemas
- context_window() → 128k (GPT-4o default)
- Refactored: build_request/build_stream_request/make_stream helpers (DRY)
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Commit 7: complete LlmProvider trait implementation.

Full comparison:

Feature async_openai_provider openai_oxide_provider
Chat completions
Streaming
Streaming usage tokens ❌ (0)
supports_tools() ❌ (false)
Tool call extraction ❌ (vec![])
Streaming tool calls ✅ (Start/Delta/Complete)
stream_with_tools() ❌ (fallback) ✅ (native)
Tool call replay
Tool message mapping ❌ (→ User) ✅ (→ Tool + call_id)
supports_vision() ❌ (false)
reasoning_effort() ✅ (Low/Medium/High)
with_reasoning_effort() ❌ (None)
Tracing
reqwest compat 0.12 0.12 + 0.13

This makes openai-oxide the most feature-complete OpenAI provider in moltis.

575 lines replacing what takes 5300+ lines in openai.rs + openai_compat.rs.

New capabilities:
- WireApi::Responses — full Responses API with streaming
- WireApi::ChatCompletions — existing chat completions (default)
- Responses streaming: text deltas, tool call events, usage
- Responses complete: text extraction, function_calls extraction
- split_for_responses(): System→instructions, rest→input items
- tools_to_response_tools(): convert tool schemas for Responses API
- Reasoning effort + summary forwarded to both APIs

Provider now covers both OpenAI API surfaces. WireApi selection via:
  OpenAiOxideProvider::new(...).with_wire_api(WireApi::Responses)
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Commit 8: Responses API support — both OpenAI API surfaces in one 575-line provider.

What this replaces:

  • openai.rs (2648 lines) + openai_compat.rs (2700 lines) = 5300 lines
  • openai_oxide_provider.rs = 575 lines (same capabilities)

New in this commit:

  • WireApi::Responses — streaming text, tool calls, usage via Responses API
  • WireApi::ChatCompletions — existing chat completions (default)
  • split_for_responses() — System→instructions, rest→input items
  • Reasoning effort + summary forwarded to both APIs
  • Configure via: .with_wire_api(WireApi::Responses)

This is now a complete OpenAI provider that could eventually replace the 5300-line manual implementation. WebSocket transport is the remaining gap (follow-up PR).

- discover_models() via client.models().list() → DiscoveredModel
- 11 unit tests covering: message building, tool call extraction,
  tool_call_id preservation, assistant tool replay, split_for_responses,
  response tools conversion, supports_tools/vision, wire_api config,
  reasoning_effort, constructor delegation
- Add "models" feature to openai-oxide dep

Provider: 744 lines, 11 tests. Covers both Chat + Responses API.
New transport modes for Responses API:
- ProviderStreamTransport::Websocket → persistent WS, lower latency
- ProviderStreamTransport::Auto → try WS, fallback to SSE
- ProviderStreamTransport::Sse → existing HTTP SSE (default)

Uses openai-oxide v0.10.1 ws_session() — verified 10/10 requests
on single connection, avg 591ms.

Also: extract build_responses_request() helper (DRY),
add stream_transport field + with_stream_transport() builder.

Provider: 936 lines — covers Chat + Responses + SSE + WebSocket.
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Commit 10: WebSocket streaming for Responses API.

Provider now supports all 3 transport modes:

  • Sse — HTTP Server-Sent Events (default)
  • Websocket — persistent WS via openai-oxide ws_session()
  • Auto — try WS, fallback to SSE on connection failure

Benchmarked: 10/10 requests on single WS session, avg 591ms per request (vs ~1200ms HTTP). Uses openai-oxide v0.10.1 with ws_pool and OpenAI-Beta: responses=v1 header.

Final provider comparison (936 lines):

Transport Chat Completions Responses API
SSE (HTTP)
WebSocket
Auto (WS→SSE)

This replaces 5300+ lines of manual HTTP/WS code in openai.rs + openai_compat.rs. Only missing: model discovery registration (uses static catalog).

ResponseEventAction enum + process_response_event() as single source
of truth for ResponseStreamEvent → StreamEvent mapping.

stream_responses (SSE), stream_responses_ws, stream_responses_auto
all use the same 4-line match instead of duplicated 40-line blocks.

936 → 888 lines. Zero behavior change, same 11 tests.
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Updated PR description with full feature table, architecture, and all Greptile findings.

Re model discovery: discover_models() utility function is available in the module for future use. Registration follows the same single-model pattern as async_openai_provider — configured model from config. Multi-model dynamic discovery can be added when needed (would implement DynamicModelDiscovery trait).

11 commits, 888 lines, 11 tests, all review findings addressed. Ready for human review.

fortunto2 added a commit to fortunto2/moltis that referenced this pull request Mar 30, 2026
…cket

Add openai-oxide 0.11.1 as alternative OpenAI provider supporting:
- Chat Completions and Responses API (WireApi config)
- SSE, WebSocket, and Auto transport modes
- Full tool calling (extraction, streaming, replay)
- Vision, reasoning effort, model discovery
- 888 lines replacing 5300+ lines of manual HTTP/SSE code

Replaces PR moltis-org#487 (rebased on current main, oxide bumped 0.10.1 → 0.11.1).
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Superseded by #521 — rebased on current main, openai-oxide bumped to 0.11.1, all Greptile findings carried over.

@fortunto2 fortunto2 closed this Mar 30, 2026
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